Merge pull request #231 from luckydog6132/python_dev
add python xdb searcher impl
This commit is contained in:
commit
75fd006545
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@ -2,6 +2,113 @@
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# 使用方式
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### 完全基于文件的查询
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```python
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from xdbSearcher import XdbSearcher
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def searchWithFile():
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# 1. 创建查询对象
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dbPath = "../../data/ip2region.xdb"
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searcher = XdbSearcher(dbfile=dbPath)
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# 2. 执行查询
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ip = "1.2.3.4"
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region_str = searcher.searchByIPStr(ip)
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print(region_str)
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# 3. 关闭searcher
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searcher.close()
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```
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### 缓存 `VectorIndex` 索引
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我们可以提前从 `xdb` 文件中加载出来 `VectorIndex` 数据,然后全局缓存,每次创建 Searcher 对象的时候使用全局的 VectorIndex 缓存可以减少一次固定的 IO 操作,从而加速查询,减少 IO 压力。
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```python
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from xdbSearcher import XdbSearcher
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def searchWithVectorIndex():
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# 1. 预先加载整个 xdb
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dbPath = "../../data/ip2region.xdb"
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vi = XdbSearcher.loadVectorIndexFromFile(dbfile=dbPath)
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# 2. 使用上面的缓存创建查询对象, 同时也要加载 xdb 文件
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searcher = XdbSearcher(dbfile=dbPath, vectorIndex=vi)
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# 3. 执行查询
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ip = "1.2.3.4"
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region_str = searcher.search(ip)
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print(region_str)
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# 4. 关闭searcher
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searcher.close()
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```
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### 缓存整个 `xdb` 数据
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我们也可以预先加载整个 ip2region.xdb 的数据到内存,然后基于这个数据创建查询对象来实现完全基于文件的查询,类似之前的 memory search。
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```python
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from xdbSearcher import XdbSearcher
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def searchWithContent():
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# 1. 预先加载整个 xdb
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dbPath = "../../data/ip2region.xdb";
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cb = XdbSearcher.loadContentFromFile(dbfile=dbPath)
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# 2. 仅需要使用上面的全文件缓存创建查询对象, 不需要传源 xdb 文件
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searcher = XdbSearcher(contentBuff=cb)
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# 3. 执行查询
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ip = "1.2.3.4"
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region_str = searcher.search(ip)
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print(region_str)
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# 4. 关闭searcher
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searcher.close()
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```
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# 查询测试
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通过 `search_test.py` 脚本来进行查询测试:
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```bash
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➜ python git:(python_dev) ✗ python3 ./search_test.py
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python3 search_test.py [command options]
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options:
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--db string ip2region binary xdb file path
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--cache-policy string cache policy: file/vectorIndex/content
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```
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例如:使用默认的 data/ip2region.xdb 进行查询测试:
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```bash
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➜ python git:(python_dev) ✗ python3 ./search_test.py --db=../../data/ip2region.xdb --cache-policy=content
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ip2region xdb searcher test program, cachePolicy: content
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type 'quit' to exit
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ip2region>> 1.2.3.4
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region :美国|0|华盛顿|0|谷歌 , took 0.0689 ms
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ip2region>> quit
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searcher test program exited, thanks for trying
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```
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输入 ip 即可进行查询测试。也可以分别设置 `cache-policy` 为 file/vectorIndex/content 来测试三种不同缓存实现的效率。
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# bench 测试
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通过 `bench_test.py` 脚本来进行自动 bench 测试,一方面确保 `xdb` 文件没有错误,另一方面通过大量的查询测试平均查询性能:
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```bash
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➜ python git:(python_dev) ✗ python3 ./bench_test.py
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python bench_test.py [command options]
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options:
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--db string ip2region binary xdb file path
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--src string source ip text file path
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--cache-policy string cache policy: file/vectorIndex/content
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```
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例如:通过默认的 data/ip2region.xdb 和 data/ip.merge.txt 来进行 bench 测试:
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```bash
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➜ python git:(python_dev) ✗ python3 ./bench_test.py --db=../../data/ip2region.xdb --src=../../data/ip.merge.txt --cache-policy=content
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Bench finished, [cachePolicy: content, total: 3417955, took: 34.93 s, cost: 0.0094 ms/op]
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```
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可以通过设置 `cache-policy` 参数来分别测试 file/vectorIndex/content 三种不同的缓存实现的的性能。
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@Note:请注意 bench 使用的 src 文件需要是生成对应的 xdb 文件的相同的源文件。
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@ -0,0 +1,120 @@
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#
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# bench_test.py
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# bench_test
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#
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# Created by luckydog on 2022/7/1.
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# Copyright © 2022年 luckydog. All rights reserved.
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#
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from ast import main
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import io
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from xdbSearcher import XdbSearcher
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import argparse
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import time
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import sys
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def printHelp():
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print("python bench_test.py [command options]")
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print("options: ")
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print(" --db string ip2region binary xdb file path")
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print(" --src string source ip text file path")
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print(" --cache-policy string cache policy: file/vectorIndex/content")
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def trim(string):
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if string[:1] != ' ' and string[-1:] != ' ':
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return string
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elif string[:1] == ' ':
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return trim(string[1:])
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else:
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return trim(string[:-1])
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def start_bench(dbFile="", srcFile="", cachePolicy="vectorIndex"):
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if cachePolicy == "file":
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try:
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searcher = XdbSearcher(dbfile=dbFile)
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except Exception as err:
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print(err)
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return
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elif cachePolicy == "vectorIndex":
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try:
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vi = XdbSearcher.loadVectorIndexFromFile(dbfile=dbFile)
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if vi is None:
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print(f"failed to load vector index from {dbFile}\n")
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searcher = XdbSearcher(dbfile=dbFile, vectorIndex=vi)
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except Exception as err:
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print(err)
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return
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else:
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try:
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cb = XdbSearcher.loadContentFromFile(dbfile=dbFile)
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if cb is None:
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print(f"failed to load xdb content from {dbFile}\n")
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searcher = XdbSearcher(contentBuff=cb)
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except Exception as err:
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print(err)
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return
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# do the bench test
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try:
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count = 0
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costs = 0
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sTime = time.time()
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f = io.open(srcFile, "rb")
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while True:
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line = trim(f.readline(1024)).decode("utf-8").replace("\n", "")
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if len(line) < 1:
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break
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ps = line.split("|",2)
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if len(ps) != 3:
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print(f"invalid ip segment line :{line}")
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return
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sip = XdbSearcher.ip2long(None, ps[0])
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eip = XdbSearcher.ip2long(None, ps[1])
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if sip > eip:
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print(f"start ip({ps[0]}) should not be greater than end ip({ps[1]})")
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return
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mip = (sip + eip) >> 1
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for ip in [sip, (sip + mip) >> 1, mip, (mip + eip) >> 1, eip]:
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try:
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cTime = time.time()
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region = searcher.search(ip)
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costs = costs + (time.time() - cTime)
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except Exception as error:
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print(f"failed to search ip :{ip}")
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return
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if region is None:
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print(f"failed to search ip :{ip}")
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return
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if region != ps[2]:
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print(f"failed search({ip}) with ({region} != {ps[2]})")
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return
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count = count + 1
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# close the searcher at last
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f.close()
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searcher.close()
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print(f"Bench finished, [cachePolicy: {cachePolicy}, total: {count}, took: {round(time.time() - sTime, 2)} s, cost: {round(costs/count*1000, 4)} ms/op]")
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except Exception as err:
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print(f"failed to open source text file :{err}")
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return
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if __name__ == '__main__':
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if len(sys.argv) < 2:
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printHelp()
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exit(0)
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parse = argparse.ArgumentParser()
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parse.add_argument("--db", help="ip2region binary xdb file path")
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parse.add_argument("--src", help="source ip text file path")
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parse.add_argument("--cache-policy", choices=["file", "vectorIndex", "content"],
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help="cache policy: file/vectorIndex/content")
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args = parse.parse_args()
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start_bench(dbFile=args.db, srcFile=args.src, cachePolicy=args.cache_policy)
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from xdbSearcher import XdbSearcher
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def searchWithFile():
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# 1. 创建查询对象
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dbPath = "../../data/ip2region.xdb"
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searcher = XdbSearcher(dbfile=dbPath)
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# 2. 执行查询
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ip = "1.2.3.4"
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region_str = searcher.searchByIPStr(ip)
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print(region_str)
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# 3. 关闭searcher
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searcher.close()
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def searchWithVectorIndex():
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# 1. 预先加载整个 xdb
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dbPath = "../../data/ip2region.xdb"
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vi = XdbSearcher.loadVectorIndexFromFile(dbfile=dbPath)
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# 2. 使用上面的缓存创建查询对象, 同时也要加载 xdb 文件
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searcher = XdbSearcher(dbfile=dbPath, vectorIndex=vi)
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# 3. 执行查询
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ip = "1.2.3.4"
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region_str = searcher.search(ip)
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print(region_str)
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# 4. 关闭searcher
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searcher.close()
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def searchWithContent():
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# 1. 预先加载整个 xdb
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dbPath = "../../data/ip2region.xdb";
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cb = XdbSearcher.loadContentFromFile(dbfile=dbPath)
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# 2. 仅需要使用上面的全文件缓存创建查询对象, 不需要传源 xdb 文件
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searcher = XdbSearcher(contentBuff=cb)
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# 3. 执行查询
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ip = "1.2.3.4"
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region_str = searcher.search(ip)
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print(region_str)
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# 4. 关闭searcher
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searcher.close()
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if __name__ == '__main__':
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searchWithContent()
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@ -0,0 +1,95 @@
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#
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# search_test.py
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# search_test
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#
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# Created by luckydog on 2022/7/1.
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# Copyright © 2022年 luckydog. All rights reserved.
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#
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from xdbSearcher import XdbSearcher
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import argparse
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import time
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import sys
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def printHelp():
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print("python3 search_test.py [command options]")
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print("options: ")
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print(" --db string ip2region binary xdb file path")
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print(" --cache-policy string cache policy: file/vectorIndex/content")
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def trim(string):
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if string[:1] != ' ' and string[-1:] != ' ':
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return string
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elif string[:1] == ' ':
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return trim(string[1:])
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else:
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return trim(string[:-1])
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def start_search(dbFile="", cachePolicy="vectorIndex"):
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if cachePolicy == "file":
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try:
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searcher = XdbSearcher(dbfile=dbFile)
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except Exception as err:
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print(err)
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return
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elif cachePolicy == "vectorIndex":
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try:
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vi = XdbSearcher.loadVectorIndexFromFile(dbfile=dbFile)
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if vi is None:
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print(f"failed to load vector index from {dbFile}\n")
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searcher = XdbSearcher(dbfile=dbFile, vectorIndex=vi)
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except Exception as err:
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print(err)
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return
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else:
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try:
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cb = XdbSearcher.loadContentFromFile(dbfile=dbFile)
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if cb is None:
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print(f"failed to load xdb content from {dbFile}\n")
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searcher = XdbSearcher(contentBuff=cb)
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except Exception as err:
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print(err)
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return
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# 开始的提示
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print(f"ip2region xdb searcher test program, cachePolicy: {cachePolicy}\ntype 'quit' to exit")
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while True:
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line = trim(input("ip2region>> "))
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# print(f"{line}")
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if len(line) < 2:
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continue
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if line == "quit":
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break
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if not XdbSearcher.isip(None, ip=line):
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print("Error: invalid ip address")
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continue
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start = time.time()
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try:
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region_str = searcher.searchByIPStr(line)
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except Exception as error:
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print(error)
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return
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print(f"region :{region_str} , took {round((time.time()-start)*1000.00, 4)} ms")
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# quit
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searcher.close()
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print("searcher test program exited, thanks for trying")
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if __name__ == '__main__':
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if len(sys.argv) < 2:
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printHelp()
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exit(0)
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parse = argparse.ArgumentParser()
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parse.add_argument("--db", help="ip2region binary xdb file path")
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parse.add_argument("--cache-policy", choices=["file", "vectorIndex", "content"],
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help="cache policy: file/vectorIndex/content")
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args = parse.parse_args()
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start_search(dbFile=args.db, cachePolicy=args.cache_policy)
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@ -0,0 +1,191 @@
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#
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# ip2Region.py
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# ip2Region
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#
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# Created by luckydog on 2022/6/29.
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# Copyright © 2022年 luckydog. All rights reserved.
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#
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import socket
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import struct
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import io
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import sys
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# xdb默认参数
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HeaderInfoLength = 256
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VectorIndexRows = 256
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VectorIndexCols = 256
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VectorIndexSize = 8
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SegmentIndexSize = 14
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class XdbSearcher(object):
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__f = None
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# the minimal memory allocation.
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vectorIndex = None
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# 整个读取xdb,保存在内存中
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contentBuff = None
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@staticmethod
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def loadVectorIndexFromFile(dbfile):
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try:
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f = io.open(dbfile, "rb")
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f.seek(HeaderInfoLength)
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vi_len = VectorIndexRows * VectorIndexCols * SegmentIndexSize
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vector_data = f.read(vi_len)
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f.close()
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return vector_data
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except IOError as e:
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print("[Error]: %s" % e)
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@staticmethod
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def loadContentFromFile(dbfile):
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try:
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f = io.open(dbfile, "rb")
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all_data = f.read()
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f.close()
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return all_data
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except IOError as e:
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print("[Error]: %s" % e)
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def __init__(self, dbfile=None, vectorIndex=None, contentBuff=None):
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self.initDatabase(dbfile, vectorIndex, contentBuff)
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def search(self, ip):
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if isinstance(ip, str):
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if not ip.isdigit(): ip = self.ip2long(ip)
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return self.searchByIPLong(ip)
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else:
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return self.searchByIPLong(ip)
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def searchByIPStr(self, ip):
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if not ip.isdigit(): ip = self.ip2long(ip)
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return self.searchByIPLong(ip)
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def searchByIPLong(self, ip):
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# locate the segment index block based on the vector index
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sPtr = ePtr = 0
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il0 = (int)((ip >> 24) & 0xFF)
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il1 = (int)((ip >> 16) & 0xFF)
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idx = il0 * VectorIndexCols * VectorIndexSize + il1 * VectorIndexSize
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if self.vectorIndex is not None:
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sPtr = self.getLong(self.vectorIndex, idx)
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ePtr = self.getLong(self.vectorIndex, idx + 4)
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elif self.contentBuff is not None:
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sPtr = self.getLong(self.contentBuff, HeaderInfoLength + idx)
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ePtr = self.getLong(self.contentBuff, HeaderInfoLength + idx + 4)
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else:
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self.__f.seek(HeaderInfoLength + idx)
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buffer_ptr = self.__f.read(8)
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sPtr = self.getLong(buffer_ptr, 0)
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ePtr = self.getLong(buffer_ptr, 4)
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|
||||
# binary search the segment index block to get the region info
|
||||
dataLen = dataPtr = int(-1)
|
||||
l = int(0)
|
||||
h = int((ePtr - sPtr) / SegmentIndexSize)
|
||||
while l <= h:
|
||||
m = int((l + h) >> 1)
|
||||
p = int(sPtr + m * SegmentIndexSize)
|
||||
# read the segment index
|
||||
buffer_sip = self.readBuffer(p, SegmentIndexSize)
|
||||
sip = self.getLong(buffer_sip, 0)
|
||||
if ip < sip:
|
||||
h = m - 1
|
||||
else:
|
||||
eip = self.getLong(buffer_sip, 4)
|
||||
if ip > eip:
|
||||
l = m + 1
|
||||
else:
|
||||
dataLen = self.getInt2(buffer_sip, 8)
|
||||
dataPtr = self.getLong(buffer_sip, 10)
|
||||
break
|
||||
|
||||
# empty match interception
|
||||
if dataPtr < 0:
|
||||
return ""
|
||||
|
||||
buffer_string = self.readBuffer(dataPtr, dataLen)
|
||||
return_string = buffer_string.decode("utf-8")
|
||||
return return_string
|
||||
|
||||
def readBuffer(self, offset, length):
|
||||
buffer = None
|
||||
# check the in-memory buffer first
|
||||
if self.contentBuff is not None:
|
||||
buffer = self.contentBuff[offset:offset + length]
|
||||
return buffer
|
||||
|
||||
# read from the file handle
|
||||
if self.__f is not None:
|
||||
self.__f.seek(offset)
|
||||
buffer = self.__f.read(length)
|
||||
return buffer
|
||||
|
||||
def initDatabase(self, dbfile, vi, cb):
|
||||
"""
|
||||
" initialize the database for search
|
||||
" param: dbFile, vectorIndex, contentBuff
|
||||
"""
|
||||
try:
|
||||
if cb is not None:
|
||||
self.__f = None
|
||||
self.vectorIndex = None
|
||||
self.contentBuff = cb
|
||||
else:
|
||||
self.__f = io.open(dbfile, "rb")
|
||||
self.vectorIndex = vi
|
||||
except IOError as e:
|
||||
print("[Error]: %s" % e)
|
||||
sys.exit()
|
||||
|
||||
def ip2long(self, ip):
|
||||
_ip = socket.inet_aton(ip)
|
||||
return struct.unpack("!L", _ip)[0]
|
||||
|
||||
def isip(self, ip):
|
||||
p = ip.split(".")
|
||||
|
||||
if len(p) != 4: return False
|
||||
for pp in p:
|
||||
if not pp.isdigit(): return False
|
||||
if len(pp) > 3: return False
|
||||
if int(pp) > 255: return False
|
||||
return True
|
||||
|
||||
def getLong(self, b, offset):
|
||||
if len(b[offset:offset + 4]) == 4:
|
||||
return struct.unpack('I', b[offset:offset + 4])[0]
|
||||
return 0
|
||||
|
||||
def getInt2(self, b, offset):
|
||||
return ((b[offset] & 0x000000FF) | (b[offset+1] & 0x0000FF00))
|
||||
|
||||
def close(self):
|
||||
if self.__f is not None:
|
||||
self.__f.close()
|
||||
self.vectorIndex = None
|
||||
self.contentBuff = None
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
ip_array = [
|
||||
"1.2.3.4",
|
||||
"192.168.1.1"
|
||||
]
|
||||
# 1. 缓存
|
||||
dbPath = "./data/ip2region.xdb";
|
||||
cb = Searcher.loadContentFromFile(dbfile=dbPath)
|
||||
|
||||
# 2. 创建查询对象
|
||||
searcher = Searcher(contentBuff=cb)
|
||||
|
||||
# 3. 执行查询
|
||||
# ip = "1.2.3.4"
|
||||
for ip in ip_array:
|
||||
region_str = searcher.searchByIPStr(ip)
|
||||
print(region_str)
|
||||
searcher.close()
|
||||
Loading…
Reference in New Issue